11+ Data warehouse QA Jobs in Pune | Data warehouse QA Job openings in Pune

Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)

Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).

Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.

Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.

Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.

Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.

Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.

Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.

Job Summary:

We are seeking a highly skilled OutSystems Senior Developer to design, develop, and optimize enterprise applications using the OutSystems low-code platform. The ideal candidate will have extensive experience in OutSystems development, a strong understanding of software architecture, and the ability to mentor junior developers. You will work closely with business stakeholders, UX designers, and other developers to deliver high-quality applications that meet business needs.

Key Responsibilities:

Design, develop, and implement scalable applications using the OutSystems platform.

Collaborate with business analysts and stakeholders to gather and analyze requirements.

Ensure best practices, performance optimization, and security compliance in OutSystems applications.

Integrate OutSystems applications with external systems and APIs.

Troubleshoot and resolve technical issues, ensuring system stability and performance.

Conduct code reviews and provide guidance to junior developers.

Stay updated with OutSystems best practices, tools, and emerging technologies.

Work in an Agile environment and participate in sprint planning, stand-ups, and retrospectives.

Required Skills & Qualifications:

3+ years of experience in OutSystems development.

Certification in OutSystems (e.g., OutSystems Professional or Expert Developer) is a plus.

Strong knowledge of OutSystems Architecture, Performance Tuning, and Security Best Practices.

Proficiency in SQL, JavaScript, HTML, CSS, and Web Services (REST/SOAP).

Experience in integrating OutSystems applications with third-party systems and databases.

Understanding of Agile methodologies DevOps practices.

Excellent problem-solving skills and ability to work in a fast-paced environment.

Strong communication and teamwork skills.

Preferred Qualifications:

Experience with cloud-based deployments (AWS, Azure, OIC).

Knowledge of CI/CD pipelines and automated testing.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

We are on a mission to enable businesses to build agile and accountable technology teams that can deliver results in a secure and scalable way. You will be working in one such technology team for our clients across the world.

• Collaborate with front-end and back-end developers and designers to build website following client requirements

• Create clear, simple, and reusable code

• Develop all server-side logic, including data storage to optimize website performance

• Identify programming bottlenecks and bugs and find fixes

• Test, update and validate web applications to be used on different web browsers

• Execute automated testing platforms and system tests

• BSc/BE/BTech in Computer Science, Engineering or a related field

• At least 2+ years of experience with JavaScript and Node.js

• Hands-on expertise in REST, MySQL/PostgreSQL, WebSocket, MongoDB, Redis, etc.

• Familiarity with Docker and AWS infrastructure

• Understanding of data security principles

• Proficiency in JavaScript, web stacks, libraries, and frameworks

• Strong analytical and problem-solving aptitude skills

Field Sales, Revenue 💵 - PagarBook
( Temporary fulltime )

About Pagarbook:

1. Employee Management at your Fingertips. PagarBook - India's Best Payroll

and Attendance

2. Management tool for Small & Medium Enterprises. Using PagarBook, a

business owner can maintain all the records of their employees digitally

and can get insights around the same.

3. PagarBook is free & easy to use employee management, work & payroll

management software app where you can manage all your staff and

employee’s attendance, record the work done by your staff and employees

and their salary, payments & advances can also be recorded in this app.

4. Sms & WhatsApp notification to employees and staff about payments,

bonuses, daily work, attendance & leaves.

5. The Sales would be done for premium desktop version of the application

6. Benefits of desktop application:

a. Better and Easier accessibility, also available on mobile web

b. Access to rich reports which gives you business knowledge, spend

c. Unlimited free upgrades for a year

About Sales team:

The field sales team at PagarBook is all about solving SME’s customer problems

and ensuring we deliver compelling value propositions.

On a typical day, the sales team:

● drives the adoption of a premium version of Pagarbook, sold at a

subscription fee per annum

● never-say-no attitude, and comes with a win-all attitude

● At the same time, a core ingredient of the DNA is customer empathy

● We should always ensure the customer is well informed of all the benefits of

the solution, before we close the sales.

Responsibilities and Duties of sales associate:

● You will pitch about PagarBook desktop solution on field to customers

● You will explain the benefits of PagarBook desktop solution to customers

○ Better and Easier accessibility, also available on mobile web

○ Access to rich reports which gives you business knowledge, spend

○ Unlimited free upgrades for a year

● The users can register on the desktop for a free trial for 7 days first

● Sales associate would convert the customer into a paid customer

Mandatory requirements:

● Having your own bike is a must

● Field sales experience is a must (telecom, FMCG and financial sales

experience adds more weightage)

● Local language knowledge in the city of operations is a must

● Graduation in any field is sufficient

Benefits:

● Fixed salary (~15-18k a month)

● Targets based incentives (extremely attractive)

● Petrol allowance ~upto INR 3,000 (on actual bills)

● Initial job posting would be for 3 months - based on good performance,

conversion to full time employment would be granted

Key Areas of Responsibility (KRAs):

● Onboarding of Customers

○ Meet 30 new clients a day (tracked)

○ Get free trial enabled for 20 clients a day

○ Get 3 sales (paid customers, 10% conversion) per day -

non-negotiable output

● Retaining customer accounts

○ While we build new businesses, cross-selling would be key

○ Customers should keep using PagarBook desktop beyond 30 days of

activation

● Grow customer basket size

○ Identify key SME clusters in the city and prepare an acquisition plan

○ Go aggressive and acquire

● Business acumen & key skills

○ Strong knowledge on PagarBook sales process, services and product

○ Local Market and competition knowledge and clear articulation of

PagarBook advantages

○ Strong negotiation and influencing skills to create win-win

○ Give continuous feedback to internal teams to improve our

customer service level

Finally, remember, you are the PagarBook brand ambassador on the ground! All

the best.

Requirements for field sales - Phase 1 (50):

● West:

○ Pune - 10 Associates

○ Mumbai - 5 Associates

○ Thane - 5 Associates

○ Surat - 5 Associates

○ Ahmedabad - 5 Associates

○ Vadodara - 5 Associates